| 4430 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - S |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.699166 |
| Microsoft PowerPoint file | 0.388828 |
| Salmonella Infection | 0.851515 |
| HPV Infection | 0.675732 |
| Staphylococcus aureus Infection | 0.823654 |
| Microsoft Word file | 0.392483 |
| Virus Infection | 0.755174 |
| Shiga toxin-producing E. | 0.508804 |
| Microsoft Excel file | 0.387357 |
| Salmonella typhi infection | 0.796447 |
| Treponema pallidum Infection | 0.912345 |
| page options Skip | 0.397329 |
| Pelvic Inflammatory Disease | 0.380158 |
| different file formats | 0.390607 |
| Fever Group Rickettsia | 0.537317 |
| Apple Quicktime file | 0.383952 |
| Disease Surveillance Reports | 0.502156 |
| Sudden Infant Death | 0.492514 |
| Transmitted Disease Surveillance | 0.534936 |
| Simplex Virus Infection | 0.746727 |
| CDC A-Z | 0.468697 |
| Southern Tick-Associated Rash | 0.485148 |
| Sore Mouth Infection | 0.746283 |
| Strongyloides Infection | 0.666017 |
| Adobe PDF file | 0.385092 |
|
| infection | 0.961928 |
| [Schistosoma Infection] | 0.779265 |
| Rat-Bite Fever | 0.375532 |
| processing SSI file | 0.698489 |
| [Trichomonas Infection] | 0.753176 |
| Search Form Controls | 0.539572 |
| Sappinia Infection | 0.727167 |
| Skin Cancer | 0.407488 |
| Streptococcus pneumoniae Infection | 0.720922 |
| Sickle Cell Disease | 0.378523 |
| A-Z Index | 0.691185 |
| Conditions A-Z Index | 0.592473 |
| Strep Infection | 0.766739 |
| Sporothrix schenckii infection | 0.758427 |
| toxin-producing E. coli | 0.505265 |
| Sexually Transmitted Disease | 0.643675 |
| Human Papillomavirus Infection | 0.750435 |
| CDC Topics | 0.445561 |
| Search The CDC | 0.407565 |
| Acute Respiratory Syndrome | 0.477359 |
| Sinus Infection | 0.677329 |
| Tick-Associated Rash Illness | 0.484105 |
| Sexually Transmitted Diseases | 0.559123 |
| Infant Death Syndrome | 0.49161 |
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| 4448 |
Centers for Disease Control and Prevention |
Html |
en |
Q & A: Preventing the Flu |
The single best way to prevent the flu is for individuals to get a vaccination, especially people at high risk for serious complications from the flu - CDC |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 11890 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Correlates of Measured Prehypertension and Hypertension in Latina Women Living Along the US"Mexico Border, 2007"2009 - CDC |
Although Latinos have lower hypertension rates than non-Latino whites and African Americans, they have a higher prevalence of undiagnosed and uncontrolled hypertension. Research on predictors of hypertension has mostly focused on intrapersonal factors with no studies assessing the combined influence of intrapersonal, interpersonal, and environmental factors. The purpose of this study was to assess a broad range of correlates including intrapersonal, interpersonal, and environmental factors on measured blood pressure category (nonhypertensive, prehypertensive, and hypertensive) in a sample of Latina women residing in San Diego, California. |
| self-reported physical activity | 0.403623 |
| high school | 0.399966 |
| San Diego Prevention | 0.55873 |
| high school education | 0.392618 |
| Physical Activity Readiness | 0.381825 |
| San Diego County | 0.369377 |
| greater perceived neighborhood | 0.378245 |
| measured blood pressure | 0.37574 |
| cardiometabolic risk factors | 0.373015 |
| San Diego | 0.71815 |
| Diego Prevention Research | 0.558723 |
| Diego State University | 0.554453 |
| BRFSS survey | 0.388802 |
| health behaviors | 0.37369 |
| social support | 0.499404 |
| neighborhood safety | 0.386415 |
| blood pressure | 0.911762 |
| risk factors | 0.381781 |
| environmental factors | 0.396731 |
| University Research Foundation | 0.450484 |
| physical activity intervention | 0.396499 |
| logistic regression analysis | 0.437692 |
| study | 0.384138 |
| blood pressure category | 0.559073 |
| neighborhood cohesion | 0.418536 |
|
| United States | 0.374125 |
| diet soda consumption | 0.386224 |
| soda consumption | 0.550251 |
| higher score | 0.382057 |
| lower blood pressure | 0.370672 |
| neighborhood characteristics | 0.399983 |
| Prevention Research Center | 0.56501 |
| response options | 0.390394 |
| diet soda | 0.38796 |
| blood pressure categories | 0.427563 |
| mean score | 0.3838 |
| physical activity recommendations | 0.387116 |
| previous research | 0.384927 |
| intrapersonal factors | 0.372688 |
| public health | 0.390736 |
| State University Research | 0.448223 |
| strongest correlates | 0.377374 |
| federal poverty guidelines | 0.394083 |
| San Diego State | 0.549377 |
| physical activity | 0.830132 |
| leisure-time physical activity | 0.412473 |
| high blood pressure | 0.375698 |
| promotora-led physical activity | 0.398315 |
| hypertension | 0.467667 |
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| 12041 |
Centers for Disease Control and Prevention |
Html |
en |
Human Parainfluenza Viruses | HPIV Resources and References | CDC |
Human Parainfluenza Viruses (HPIVs) cause upper and lower respiratory illnesses, especially in infants and young children. |
| Fields virology | 0.603999 |
| Pediatrics | 0.506356 |
| Curns | 0.431184 |
| Infectious Diseases. | 0.607858 |
| United States | 0.596484 |
| Elk Grove Village | 0.776781 |
| epidemiology | 0.434448 |
| Brady MT | 0.613836 |
| Howley PM | 0.607248 |
| children | 0.43079 |
| CDC. Guidelines | 0.593061 |
| Fields BN | 0.596747 |
| Langley GE | 0.619235 |
| Wilkins Publishers | 0.593322 |
| Wikswo | 0.431291 |
| Healthcare Infection Control | 0.757167 |
| New York | 0.582837 |
| parainfluenza virus-associated hospitalizations | 0.826807 |
| Jackson MA | 0.608519 |
| Long SS | 0.61416 |
| Red Book | 0.606636 |
| Knipe DM | 0.618314 |
| Report | 0.43216 |
|
| Denny FW | 0.629468 |
| Karron RA | 0.591268 |
| Academy | 0.46403 |
| Ped Infect Dis. | 0.806045 |
| 1-36 | 0.431048 |
| Enteric Virus Surveillance | 0.861689 |
| Practices Advisory Committee | 0.754378 |
| National Respiratory | 0.633423 |
| Prill MM | 0.614946 |
| Estimates | 0.438806 |
| Human Parainfluenza Surveillance | 0.863091 |
| Kimberlin DW | 0.678778 |
| health-care–associated pneumonia | 0.609795 |
| MMWR. | 0.431196 |
| Parainfluenza viruses | 0.774877 |
| Parainfluenza Viral Infections | 0.913485 |
| eds | 0.593901 |
| Glezen WP | 0.608514 |
| Evans | 0.431552 |
| Weinberg GA | 0.614835 |
| Plenum | 0.45706 |
| Abedi GR | 0.621452 |
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| 12522 |
Centers for Disease Control and Prevention |
Video |
en |
San Antonio, Texas -- Obesity Prevention |
Learn how San Antonio is tackling obesity through healthy eating, physical activity and environmental change.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/CommunitiesPuttingPreventiontoWork/communities/profiles/obesity-tx_sanantonio.htm |
| San Antonio | 0.871792 |
| Texas | 0.523502 |
|
| Obesity Prevention | 0.981368 |
|
CLICK HERE |
| 13300 |
Centers for Disease Control and Prevention |
Video |
en |
Lisa: Be Your Own Health Advocate |
Lisa, age 40, talks about her decision to get genetic counseling and testing to find out if she had a BRCA gene mutation, and how the experience empowered her to understand her options and be her own best health advocate.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/cancer/videos/breast/BringYourBrave/Lisa/BeYourOwnAdvocate/BeYourOwnAdvocate_lowRes.mp4 |
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| 13771 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluating Policy, Systems, and Environmental Change Interventions: Lessons Learned From CDC’s Prevention Research Centers |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| North Carolina | 0.540781 |
| particular PSE changes | 0.35802 |
| public health practitioners | 0.443507 |
| evaluation stakeholders | 0.442636 |
| broader public health | 0.369817 |
| Prev Chronic Dis | 0.35002 |
| program | 0.358772 |
| public health resources | 0.34986 |
| PSE-change initiatives | 0.490656 |
| evaluation | 0.527022 |
| external evaluator PRCs | 0.401344 |
| public health departments | 0.49154 |
| PRCs produced evaluation | 0.441259 |
| Prev Med | 0.367401 |
| PSE initiatives | 0.368273 |
| PSE evaluation | 0.355024 |
| community-driven PSE changes | 0.365414 |
| public health department | 0.403163 |
| PSE change | 0.448308 |
| Community Health Assessment | 0.386139 |
| health advisory commissions | 0.402162 |
| Health Educ Behav | 0.410182 |
| PSE intervention strategies | 0.364946 |
| organizational-level PSE changes | 0.357434 |
| evaluation design | 0.352374 |
|
| community | 0.419744 |
| PSE changes | 0.575611 |
| study PRCs | 0.380818 |
| PSE interventions | 0.470419 |
| community health | 0.396896 |
| PRCs | 0.61798 |
| successful PSE changes | 0.354262 |
| prevention research | 0.421477 |
| Prevention Research Center | 0.395496 |
| evaluation findings | 0.393128 |
| local health department | 0.376005 |
| PRCs used evaluation | 0.471079 |
| PRCs used surveys | 0.425367 |
| local health advisory | 0.367785 |
| North Carolina Division | 0.351445 |
| public health | 0.958675 |
| PRCs offers | 0.366636 |
| Prevention Research Centers | 0.374089 |
| local public health | 0.3627 |
| physical activity | 0.786401 |
| CDC framework | 0.407092 |
| internal evaluator PRCs | 0.406668 |
| et al | 0.379136 |
| PSE initiative | 0.347139 |
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| 15245 |
Centers for Disease Control and Prevention |
Html |
en |
Putting the Brakes on Diabetes Complications | CDC Features |
Encouraging news: People with diabetes are living longer, healthier lives with fewer complications. What’s the driving force? Greater awareness and better control of risk factors are moving the needle. |
| Diabetic retinopathy | 0.56041 |
| eye problems | 0.562023 |
| people’s lives | 0.579487 |
| long way | 0.565681 |
| health care team | 0.667675 |
| healthy eating plan | 0.595825 |
| Diabetes Online Community | 0.721197 |
| Diabetes Educators | 0.674474 |
| major diabetes complications | 0.788831 |
| risk factors | 0.624082 |
| better control | 0.566584 |
| Greater awareness | 0.567055 |
| blood vessels | 0.669925 |
| fewer complications | 0.612728 |
| major complications | 0.610358 |
| High blood sugar | 0.62447 |
| diabetes-related health problems | 0.621144 |
| pregnancy-induced high blood | 0.619682 |
| diabetes-related health conditions | 0.619754 |
| common diabetes complications | 0.784053 |
| weight loss lowers | 0.600251 |
| Gestational diabetes | 0.685221 |
| nerve disease | 0.569633 |
| chronic kidney disease | 0.63176 |
|
| turn worsens eye | 0.614319 |
| heart attack | 0.570586 |
| kidney failure | 0.611235 |
| leading causes | 0.565216 |
| diabetes support group | 0.720209 |
| Diabetes-related damage | 0.57469 |
| heart disease | 0.822473 |
| nerve damage | 0.661842 |
| higher risk | 0.571496 |
| gum disease | 0.613858 |
| regular A1C test | 0.60065 |
| kidney transplant | 0.571952 |
| greatest declines | 0.564396 |
| diabetes complications | 0.871759 |
| people | 0.65014 |
| primary care doctor | 0.603284 |
| younger age | 0.560888 |
| average blood sugar | 0.615046 |
| high blood pressure | 0.710583 |
| kidney diseases | 0.577464 |
| American Diabetes Association | 0.721099 |
| risk | 0.624481 |
| vision loss | 0.604677 |
| blood sugar | 0.766714 |
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| 15506 |
Centers for Disease Control and Prevention |
Html |
en |
Vector Surveillance and Control |
Mosquito Control |
| United States | 0.495118 |
| potential range | 0.497817 |
| overall reduction | 0.484743 |
| resources | 0.216017 |
| insecticide resistance | 0.949086 |
| best way | 0.494535 |
| insecticide product | 0.655708 |
|
| local government departments | 0.932025 |
| adult mosquitoes | 0.828976 |
| Aedes albopictus | 0.694467 |
| neighbors | 0.204843 |
| Aedes aegypti | 0.684168 |
| information | 0.216205 |
| insecticides | 0.207863 |
|
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| 15991 |
Centers for Disease Control and Prevention |
Html |
en |
Understanding Zika Virus Test Results |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| local health department | 0.835774 |
| arbovirus activity increases | 0.919678 |
| test results | 0.544593 |
| times | 0.340153 |
| CDC | 0.400818 |
|
| Turnaround time | 0.61493 |
| specimen receipt | 0.7099 |
| testing volume | 0.530588 |
| state | 0.344766 |
| summer | 0.339563 |
|
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